Abd Algfoor Zeyad, Shahrizal Sunar Mohd, Abdullah Afnizanfaizal, Kolivand Hoshang
MaGIC-X (Media and Games Innovation Centre of Excellence), UTM-IRDA Digital Media Centre, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.
Boston University School of Medicine, Boston Medical Center, Boston, MA, USA.
Brief Funct Genomics. 2017 Mar 1;16(2):87-98. doi: 10.1093/bfgp/elw002.
Metabolic pathways have become increasingly available for various microorganisms. Such pathways have spurred the development of a wide array of computational tools, in particular, mathematical pathfinding approaches. This article can facilitate the understanding of computational analysis of metabolic pathways in genomics. Moreover, stoichiometric and pathfinding approaches in metabolic pathway analysis are discussed. Three major types of studies are elaborated: stoichiometric identification models, pathway-based graph analysis and pathfinding approaches in cellular metabolism. Furthermore, evaluation of the outcomes of the pathways with mathematical benchmarking metrics is provided. This review would lead to better comprehension of metabolism behaviors in living cells, in terms of computed pathfinding approaches.
各种微生物的代谢途径已越来越容易获得。这些途径推动了大量计算工具的发展,尤其是数学寻路方法。本文有助于理解基因组学中代谢途径的计算分析。此外,还讨论了代谢途径分析中的化学计量学和寻路方法。阐述了三种主要类型的研究:化学计量学识别模型、基于途径的图分析和细胞代谢中的寻路方法。此外,还提供了用数学基准指标对途径结果的评估。就计算寻路方法而言,这篇综述将有助于更好地理解活细胞中的代谢行为。